Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add canvora/canvora-mcp --skill multilingual-campaigngit clone --depth 1 https://github.com/canvora/canvora-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/canvora/canvora-mcp/multilingual-campaign)<a href="https://agentmods.dev/skills/canvora/canvora-mcp/multilingual-campaign"><img src="https://agentmods.dev/badge/skills/canvora/canvora-mcp/multilingual-campaign/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/canvora/canvora-mcp/multilingual-campaign"><img src="https://agentmods.dev/badge/skills/canvora/canvora-mcp/multilingual-campaign.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.01217 |
| Opus 5 | $0.00037 | $0.00609 |
| Sonnet 5 | $0.00015 | $0.00243 |
| Haiku 4.5 | $0.00007 | $0.00122 |
Grade A, and why
multilingual-campaign scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multilingual Campaign Creation
The canonical flow: generate the campaign once, then convert it per language. Canvora's localization is an image-to-image conversion of the finished visuals — layout, colors, fonts, and imagery stay exactly the same; only the text changes language. Design effort happens once, in the master; every language inherits it. Setup, credits, and general CLI usage: see the canvora skill. Design execution belongs to the pipeline — don't art-direct slide by slide, but do carry through any overall look the user has stated (see the instagram-carousel skill's rule; it applies here too).
The flow
# 1. Generate the master once (any language — usually the user's primary market)
# Without --json the first stdout line is the bare id (progress goes to stderr)
ID=$(canvora generate --idea "..." --format instagram_post --brand $BRAND_ID | head -1)
canvora status "$ID" --json # poll until completed before localizing
# 2. Convert per language (one call per language; confirm the list with the user first)
# A multi-visual master is 3+ outputs per language — fire and poll, don't --wait
ES=$(canvora localize $ID --language es | head -1)
canvora status "$ES" --json # repeat every ~30s until completed
AR=$(canvora localize $ID --language ar | head -1)
canvora status "$AR" --json
| head -1 captures the id from generate and localize alike — same idiom both times, nothing to remember, and no jq needed. Keep --wait only where the step really is 1-2 visuals (a single-image master). Above that, poll: most harnesses kill a shell command at 120s while the conversion carries on server-side, and re-running after a timeout starts a second, separate job. See the canvora skill's "Long runs" section.
localize converts ALL visuals in the generation (10 credits per visual per language — a 6-slide deck into Spanish = 60; always confirm languages with the user before running). To convert only ONE visual out of a multi-visual generation, use canvora edit <outputId> --prompt "Translate all visible text into Spanish" --yes instead.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 64 lines · 75 tokens per session scan A abf3cbecd819
multilingual-campaign is a skill published in the GitHub repository canvora/canvora-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 1,217 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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